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After that, Fisher criterion is used to get the discriminative feature. At last, CRC is executed to get the identification results in the new feature space. Different from other feature extraction methods, the proposed method integrates the classification criterion into the feature extraction. So the feature space we get fits the classifier better. Experiment results on several face databases show that the proposed method is more effective than other state-of-the-art face recognition methods.<\/jats:p>","DOI":"10.1142\/s0218001415560042","type":"journal-article","created":{"date-parts":[[2015,3,16]],"date-time":"2015-03-16T09:11:25Z","timestamp":1426497085000},"page":"1556004","source":"Crossref","is-referenced-by-count":3,"title":["A Novel Feature Extraction Method Based on Collaborative Representation for Face Recognition"],"prefix":"10.1142","volume":"29","author":[{"given":"Wei","family":"Huang","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, P. R. China"},{"name":"Department of Computer Science and Engineering, Hanshan Normal University, Chaozhou, P. R. 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